MatchUp can identify matches in any combination using more than 35 different components – ranging from conventional attributes such as address, city, state, ZIP, name or phone, to uncommon search elements such as email address, company, gender or Social Security number. MatchUp offers significant added value, allowing users to specify their own proprietary data component, such as an account number, using the user-interface-driven MatchCode editor. Further, no programming or development time is needed to utilize Melissa Data’s data quality components for SQL Server. Data stewards can be up and running in minutes – cleansing, updating and de-duping existing contact data for better marketing and better decision making.

“As many as 10 percent of the contact records in the average database are duplicates – wasting corporate resources and impeding ideal customer relationships,” said Bud Walker, Director of Data Quality Tools at Melissa Data. “Eliminating duplicate records and linking customer data enables a better understanding of each individual and their relationship with your business – improving customer service, reducing costs, managing risk and increasing profitability.”

MatchUp joins an already strong line of contact data cleansing tools from Melissa Data for SSIS, including the Contact Verify and SmartMover components.